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Convergence Properties of Minimization Algorithms for Convex Constraints Using a Structured Trust Region.

, , , and . SIAM J. Optimization, 6 (4): 1059-1086 (1996)

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Convergence Properties of Minimization Algorithms for Convex Constraints Using a Structured Trust Region., , , and . SIAM J. Optimization, 6 (4): 1059-1086 (1996)A concise second-order complexity analysis for unconstrained optimization using high-order regularized models., , and . Optim. Methods Softw., 35 (2): 243-256 (2020)Sharp worst-case evaluation complexity bounds for arbitrary-order nonconvex optimization with inexpensive constraints., , and . CoRR, (2018)Second-Order Optimality and Beyond: Characterization and Evaluation Complexity in Convexly Constrained Nonlinear Optimization., , and . Found. Comput. Math., 18 (5): 1073-1107 (2018)A Filter-Trust-Region Method for Unconstrained Optimization., , and . SIAM J. Optim., 16 (2): 341-357 (2005)Nonlinear programming: theory and practice., , and . Math. Program., 100 (1): 1-2 (2004)Evaluation complexity bounds for smooth constrained nonlinear optimisation using scaled KKT conditions, high-order models and the criticality measure $χ$., , and . CoRR, (2017)Use of the P4 and P5 Algorithms for In-Core Factorization of Sparse Matrices., , , and . SIAM J. Sci. Comput., 11 (5): 913-927 (1990)Preprocessing for quadratic programming., and . Math. Program., 100 (1): 95-132 (2004)Erratum to: Nonlinear programming without a penalty function or a filter., and . Math. Program., 131 (1-2): 403-404 (2012)